一、简介
基于matlab GUI一步线性+weiner滤波预测
二、源代码
function varargout = WeinerFilter(varargin)
% WEINERFILTER M-file for WeinerFilter.fig
% WEINERFILTER, by itself, creates a new WEINERFILTER or raises the existing
% singleton*.
%
% H = WEINERFILTER returns the handle to a new WEINERFILTER or the handle to
% the existing singleton*.
%
% WEINERFILTER('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in WEINERFILTER.M with the given input arguments.
%
% WEINERFILTER('Property','Value',...) creates a new WEINERFILTER or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before WeinerFilter_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to WeinerFilter_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help WeinerFilter
% Last Modified by GUIDE v2.5 28-May-2021 16:23:34
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @WeinerFilter_OpeningFcn, ...
'gui_OutputFcn', @WeinerFilter_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before WeinerFilter is made visible.
function WeinerFilter_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to WeinerFilter (see VARARGIN)
% Choose default command line output for WeinerFilter
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
set(handles.listSignal,'string', ...
'1-|2-AR过程的信号|3-两个正弦信号叠加+N|4-单一正弦信号|5-SAR_Line');
% UIWAIT makes WeinerFilter wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = WeinerFilter_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in btnWiener.
function btnWiener_Callback(hObject, eventdata, handles)
% hObject handle to btnWiener (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%获取数据
pInfo = getappdata(handles.figure1,'mydata');
x=pInfo.pData;
s=pInfo.pDataS;
M=length(x);
N=str2num(get(handles.edLengthFilter,'string'));
fNoiseM=str2num(get(handles.edNoiseM,'string'));
% 指定输出
axes(handles.axesOut);
%自相关矩阵 %自相关矩阵R
Re=zeros(1,M);
for i=1:N
for j=1:M
if j+i-1<=M
Re(1,i)=x(1,j)*x(1,j+i-1)'/(M-i+1)+Re(1,i);
end
end
end
R=zeros(N,N);
for i=1:N
for j=i:N
if(i==j)
R(i,i)=Re(1,1);
else
R(i,j)=Re(1,j-i+1);
R(j,i)=conj(R(i,j));
end
end
end
%互相关矩阵 r
r=zeros(1,N);
for i=1:N
for j=1:M
if j-i+1>0
r(1,i)=x(1,j)*s(1,j-i+1)'/(M-i+1)+r(1,i);
end
end
end
Wopt=inv(R)*r'; %最优抽头权向量
X=zeros(1,M); %滤波器输出
for n1=1:M
if n1<N
for i=0:n1-1
X(1,n1)=Wopt(i+1,1)*x(1,n1-i)+X(1,n1);
end
else
for i=0:N-1
X(1,n1)=Wopt(i+1,1)*x(n1-i)+X(1,n1);
end
end
end
% %%去延迟
% for j=1:M
% if(j>=M-iDelay-iDelay)
% XX(1,j)=0;
% else
% XX(1,j)=X(1,j+iDelay+iDelay);
% end
% end
hold off
plot(s,'.-k','linewidth',2);hold on
plot(x,'.-b');
hold on
plot(X,'*-r','linewidth',2);
hold off
legend('原信号','噪声信号','滤波信号')
%%
% --- Executes on selection change in listSignal.
function listSignal_Callback(hObject, eventdata, handles)
% hObject handle to listSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns listSignal contents as cell array
% contents{get(hObject,'Value')} returns selected item from listSignal
% --- Executes during object creation, after setting all properties.
function listSignal_CreateFcn(hObject, eventdata, handles)
% hObject handle to listSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: listbox controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edLengthSignal_Callback(hObject, eventdata, handles)
% hObject handle to edLengthSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edLengthSignal as text
% str2double(get(hObject,'String')) returns contents of edLengthSignal as a double
% --- Executes during object creation, after setting all properties.
function edLengthSignal_CreateFcn(hObject, eventdata, handles)
% hObject handle to edLengthSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
三、运行结果
四、备注
版本：2014a
